The future of product craft: Why AI-native PMs build better products
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AI is reshaping product management not by replacing judgment but by compressing the loop between idea and evidence. Three key shifts define AI-native PMs: continuous customer understanding via AI agents instead of scheduled research cycles, prototypes replacing PRDs as the default decision-making artifact, and quality evals defined before build begins rather than treated as a launch gate. Atlassian identifies three PM archetypes — those who become engineers, those who use AI as a productivity layer, and true AI-native PMs who rewire how their teams learn, decide, and act. The real bottleneck is no longer execution but team-level decision velocity. Six capability areas (tool fluency, discovery, data/insights, evals, prototyping, technical leverage) provide a framework for measuring genuine AI fluency beyond simple adoption metrics.
